Technology

We have partnered with a Series B SaaS workflow automation platform that is changing how businesses operate at scale. Having proven the product and grown a loyal customer base, they are now entering the most exciting phase of their journey. The hard work of finding product-market fit is done. What comes next is where great product managers thrive, taking something that works and making it exceptional.This role is for a PM who loves the craft. You will have real autonomy over a meaningful portion of the product, working closely with engineering and design in a team small enough to move fast and senior enough to care about doing it right. If you want to own features end to end, be heard in every room and see your decisions ship to thousands of business users, this is the opportunity.About the role:Own the discovery, definition and delivery of new features across the workflow automation platform, from initial brief through to production releaseWork directly with customers to understand pain points, validate ideas and ensure the product continues to solve real problems at scalePartner with engineering and design to ship high-quality features quickly, maintaining a high bar for user experience and technical executionDefine and track product metrics that matter, using data to inform decisions and demonstrate impactContribute to roadmap planning and prioritisation, balancing short-term delivery with long-term product visionWork cross-functionally with sales, customer success and leadership to ensure new features land well and drive commercial outcomes About you:3 to 5 years of product management experience, ideally within a B2B SaaS environmentProven track record of owning and shipping features that have made a measurable difference to users and the businessComfortable working in a fast-moving, growth-stage environment where priorities shift and ambiguity is part of the jobStrong discovery and research skills, with the ability to turn customer insight into clear, actionable product decisionsData-literate, with experience defining success metrics and using analytics to guide prioritisationExcellent communicator with the ability to align stakeholders across engineering, commercial and leadership teamsExperience with workflow automation, operational tooling or process management software is a plus

We have partnered with a growing fintech business based in Dubai to recruit a Senior DevOps Engineer. This is a key hire for an engineering function that takes its platform seriously. You will own the infrastructure, shape the deployment culture and have real influence over how software gets built and shipped. If you want to move beyond ticket-driven ops work and into something with genuine scope and autonomy, this is worth a look.This role suits an engineer who is as comfortable designing cloud architecture as they are embedding CI/CD best practices across a development team. You will be a senior voice in a fast-moving, multi-cloud environment where the decisions you make have a direct impact on reliability, speed and scale.About the role:Own and evolve cloud infrastructure across a multi-cloud environment spanning AWS, GCP and Azure, ensuring it is scalable, resilient and cost-efficientLead the design and implementation of Kubernetes-based container orchestration across development, staging and production environmentsBuild, maintain and continuously improve CI/CD pipelines that enable fast, reliable and repeatable software deliveryDrive infrastructure-as-code adoption using tools such as Terraform or Pulumi, reducing manual intervention and increasing consistencyCollaborate closely with software engineering teams to embed DevOps culture and practices across the full development lifecycleDefine and own observability standards including logging, monitoring, alerting and incident responseContribute to platform architecture decisions and help set the technical direction for infrastructure and delivery tooling About you:5 to 7 years of experience in DevOps, platform or infrastructure engineering rolesHands-on production experience across multiple cloud providers, ideally spanning AWS, GCP and AzureProduction-level experience with Kubernetes and container orchestration at scaleProven track record designing and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins or equivalentProficiency with infrastructure-as-code tooling, particularly TerraformSolid understanding of networking, security fundamentals and cloud cost managementExperience working in agile, high-velocity engineering environments

We have partnered with a fast-growing fintech redefining how financial data is collected, processed and used to make smarter, faster decisions. As they scale their data platform to meet increasingly complex demands, they are looking for a Senior Data Engineer to take ownership of the architecture and pipelines that sit at the heart of their business.This is not a maintenance role; it is a greenfield opportunity to build modern, high-performance data infrastructure using the tools and practices shaping the industry right now.If you are the kind of engineer who gets excited about real-time data, clean architecture and working in an environment where your decisions actually matter, this is the role for you.About the role:Design, build and optimise scalable data pipelines handling high-volume, high-velocity financial data in real timeArchitect and maintain a modern data platform leveraging tools such as dbt, Apache Kafka, Spark and cloud-native servicesImplement and evolve data lakehouse patterns, working across structured and unstructured data at scaleDrive adoption of DataOps practices including pipeline testing, observability, lineage tracking and automated data quality frameworksCollaborate with data scientists, analysts and product teams to deliver data products that create tangible business valueChampion engineering best practices across version control, CI/CD, documentation and peer reviewContribute to platform and tooling decisions, with a genuine seat at the table on architectural direction About you:4 to 5 years of experience in data engineering, with a track record of building and scaling production data pipelinesStrong hands-on experience with modern data stack tooling, dbt, Airflow, Kafka, Spark or equivalentProficiency in Python and SQL, with an understanding of software engineering principles applied to dataExperience with cloud platforms such as AWS, GCP or Azure and familiarity with lakehouse architectures such as Delta Lake or Apache IcebergExposure to real-time or streaming data processing in a production environmentA solid understanding of data modelling, schema design and the principles of well-structured, trustworthy dataComfortable working in agile, fast-moving environments where priorities evolve quicklyFintech, banking or financial services experience is advantageous

We have partnered with a global AI-led professional services firm specialising in advisory, technology and managed services across the government and commercial sectors to appoint an AI/ML Engineer. This is a senior hands-on role for an engineer who thrives in a client-facing delivery environment, building and deploying production-grade AI systems that solve real problems at scale. You will play a central role in shaping how the firm engineers and delivers AI solutions across a growing portfolio of government and public sector clients. This role suits someone who combines deep technical capability with the communication skills and commercial awareness to operate as a trusted partner to clients and internal stakeholders alike. If you have built agentic AI systems in production and want to do it at scale inside a firm with serious delivery ambition, this is worth your attention. About the role:Architect and deploy production-ready agentic AI systems, covering orchestration, retrieval, tool use, policy routing and end-to-end observabilityBuild portable, multi-provider AI pipelines spanning platforms including OpenAI, Anthropic and Google Vertex AIDevelop cloud-native systems leveraging Kubernetes, Docker, serverless architectures, event-driven design and CI/CD toolingTranslate client and business requirements into scalable agentic workflows that automate complex processes and deliver measurable outcomesLead proof of concepts, design workshops and joint engineering sessions to accelerate client adoptionOwn performance monitoring across accuracy, latency, cost and reliability, and define the standards the team works toEnsure solution compliance with applicable regulatory frameworks including HIPAA and SOC 2Mentor junior engineers and contribute to internal frameworks, reusable patterns and the firm's broader AI engineering strategy About you:5+ years of experience building and deploying cloud-native systems including microservices, APIs, containerisation and serverless architectures3+ years working with leading AI platforms and open-source LLM frameworks with hands-on experience across multi-provider pipeline development1+ year of production experience with agentic AI systems including RAG pipelines, orchestration frameworks and workflow automationStrong Python skills alongside experience with TensorFlow, PyTorch or Hugging FaceSolid grounding in MLOps including CI/CD, continuous training, observability and automated monitoringTrack record of delivering medium to large-scale AI/ML projects with demonstrable business impactStrong communicator with the ability to work effectively across engineering, client and business teamsUS citizenship or Green Card requiredFamiliarity with healthcare interoperability standards such as FHIR and HL7 is advantageousCertifications in AI, cloud platforms or agentic tooling are a plus

We have partnered with a high-availability B2B SaaS company delivering mission-critical software to enterprise clients.As customer adoption increases, they are expanding their SRE function to improve reliability, scalability, and performance across their cloud-native environment. This is a core growth function for the business.What you'll be doing:Defining SLIs, SLOs, and error budgetsImproving system reliability across AWS environmentsDriving observability improvementsAutomating infrastructure recovery and scalingLeading incident response and postmortem processesOptimising performance across distributed systems About you:5+ years in SRE, DevOps or cloud infrastructureStrong AWS or GCP experienceKubernetes and container orchestrationExperience in high-availability SaaS environments

We have partnered with a Series C B2B SaaS business investing heavily in its internal developer platform.They are building a dedicated Platform Engineering team responsible for creating self-service cloud infrastructure, improving developer experience, and enabling product teams to ship faster.This is not traditional DevOps. This is platform ownership.What you'll be doingDesigning internal developer platforms on AWSBuilding reusable Terraform modulesCreating scalable Kubernetes foundationsImplementing service mesh and container orchestration strategiesImproving cloud cost visibility and governancePartnering with engineering teams to enhance release velocity About you6+ years in cloud infrastructure or platform engineeringStrong AWS architecture experienceTerraform at scaleKubernetes in productionExperience building internal tooling or developer platformsFamiliarity with GitOps workflows This is a team-build hire. They plan to add multiple engineers into Platform this year.

We have partnered with a fast-growing B2B SaaS company building a high-scale, multi-tenant platform used by enterprise customers across North America.As part of continued growth, they are hiring multiple Senior DevOps Engineers to help evolve their cloud infrastructure and CI/CD ecosystem.You will work closely with platform and application engineering teams to build secure, scalable infrastructure and improve deployment velocity across the business.What you'll be doing:Designing and maintaining AWS-based infrastructureBuilding and scaling Kubernetes clustersDeveloping Infrastructure as Code using TerraformOwning CI/CD pipelines across multiple servicesImproving observability using Datadog, Prometheus or similarDriving automation across environmentsSupporting incident response and reliability improvements About you5+ years in DevOps or cloud infrastructure engineeringDeep AWS experienceStrong Terraform experienceProduction Kubernetes experienceExperience supporting microservices environmentsStrong scripting skills in Python or Bash This team is scaling quickly, and they expect to hire several engineers in this function over the next 12 months.

We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.About the role:Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements About you:Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs

We have partnered with a fast-growing, product-led technology company that is building a complex, high-traffic platform and is now looking to hire a Staff Software Engineer. This role sits at the highest individual contributor level and is designed for someone who wants deep technical impact without moving into people management.This is a key hire for the business. You will work on the hardest technical problems, influence architecture and engineering standards, and act as a technical reference point for the wider team as the company continues to scale.About the role:Own and solve complex, high-impact technical challenges across the core platformDrive architectural decisions across distributed, cloud-based systemsWork in a backend environment primarily built using Python and Go, with services designed around scalability, performance, and clear ownership boundariesDesign and evolve APIs, microservices, and event-driven services used across the platformContribute to system design around performance, reliability, security, and observabilityPartner closely with Engineering Managers and Product to shape pragmatic technical solutionsSet engineering standards around code quality, testing, and operational excellenceLead by example through hands-on contribution to critical parts of the codebaseMentor senior and mid-level engineers through design reviews and technical guidance About you:Strong experience as a Senior or Staff Engineer in a product-led or startup environmentDeep understanding of modern backend systems and distributed architecturesHands-on experience with Python and/or Go in production environmentsComfortable working with cloud platforms, containerisation, and CI/CD pipelinesExperience designing and operating systems used at scalePragmatic mindset with a strong focus on maintainability and real-world delivery

We have partnered with a Series B SaaS workflow automation platform that is changing how businesses operate at scale. Having proven the product and grown a loyal customer base, they are now entering the most exciting phase of their journey. The hard work of finding product-market fit is done. What comes next is where great product managers thrive, taking something that works and making it exceptional.This role is for a PM who loves the craft. You will have real autonomy over a meaningful portion of the product, working closely with engineering and design in a team small enough to move fast and senior enough to care about doing it right. If you want to own features end to end, be heard in every room and see your decisions ship to thousands of business users, this is the opportunity.About the role:Own the discovery, definition and delivery of new features across the workflow automation platform, from initial brief through to production releaseWork directly with customers to understand pain points, validate ideas and ensure the product continues to solve real problems at scalePartner with engineering and design to ship high-quality features quickly, maintaining a high bar for user experience and technical executionDefine and track product metrics that matter, using data to inform decisions and demonstrate impactContribute to roadmap planning and prioritisation, balancing short-term delivery with long-term product visionWork cross-functionally with sales, customer success and leadership to ensure new features land well and drive commercial outcomes About you:3 to 5 years of product management experience, ideally within a B2B SaaS environmentProven track record of owning and shipping features that have made a measurable difference to users and the businessComfortable working in a fast-moving, growth-stage environment where priorities shift and ambiguity is part of the jobStrong discovery and research skills, with the ability to turn customer insight into clear, actionable product decisionsData-literate, with experience defining success metrics and using analytics to guide prioritisationExcellent communicator with the ability to align stakeholders across engineering, commercial and leadership teamsExperience with workflow automation, operational tooling or process management software is a plus

We have partnered with a growing fintech business based in Dubai to recruit a Senior DevOps Engineer. This is a key hire for an engineering function that takes its platform seriously. You will own the infrastructure, shape the deployment culture and have real influence over how software gets built and shipped. If you want to move beyond ticket-driven ops work and into something with genuine scope and autonomy, this is worth a look.This role suits an engineer who is as comfortable designing cloud architecture as they are embedding CI/CD best practices across a development team. You will be a senior voice in a fast-moving, multi-cloud environment where the decisions you make have a direct impact on reliability, speed and scale.About the role:Own and evolve cloud infrastructure across a multi-cloud environment spanning AWS, GCP and Azure, ensuring it is scalable, resilient and cost-efficientLead the design and implementation of Kubernetes-based container orchestration across development, staging and production environmentsBuild, maintain and continuously improve CI/CD pipelines that enable fast, reliable and repeatable software deliveryDrive infrastructure-as-code adoption using tools such as Terraform or Pulumi, reducing manual intervention and increasing consistencyCollaborate closely with software engineering teams to embed DevOps culture and practices across the full development lifecycleDefine and own observability standards including logging, monitoring, alerting and incident responseContribute to platform architecture decisions and help set the technical direction for infrastructure and delivery tooling About you:5 to 7 years of experience in DevOps, platform or infrastructure engineering rolesHands-on production experience across multiple cloud providers, ideally spanning AWS, GCP and AzureProduction-level experience with Kubernetes and container orchestration at scaleProven track record designing and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins or equivalentProficiency with infrastructure-as-code tooling, particularly TerraformSolid understanding of networking, security fundamentals and cloud cost managementExperience working in agile, high-velocity engineering environments

We have partnered with a fast-growing fintech redefining how financial data is collected, processed and used to make smarter, faster decisions. As they scale their data platform to meet increasingly complex demands, they are looking for a Senior Data Engineer to take ownership of the architecture and pipelines that sit at the heart of their business.This is not a maintenance role; it is a greenfield opportunity to build modern, high-performance data infrastructure using the tools and practices shaping the industry right now.If you are the kind of engineer who gets excited about real-time data, clean architecture and working in an environment where your decisions actually matter, this is the role for you.About the role:Design, build and optimise scalable data pipelines handling high-volume, high-velocity financial data in real timeArchitect and maintain a modern data platform leveraging tools such as dbt, Apache Kafka, Spark and cloud-native servicesImplement and evolve data lakehouse patterns, working across structured and unstructured data at scaleDrive adoption of DataOps practices including pipeline testing, observability, lineage tracking and automated data quality frameworksCollaborate with data scientists, analysts and product teams to deliver data products that create tangible business valueChampion engineering best practices across version control, CI/CD, documentation and peer reviewContribute to platform and tooling decisions, with a genuine seat at the table on architectural direction About you:4 to 5 years of experience in data engineering, with a track record of building and scaling production data pipelinesStrong hands-on experience with modern data stack tooling, dbt, Airflow, Kafka, Spark or equivalentProficiency in Python and SQL, with an understanding of software engineering principles applied to dataExperience with cloud platforms such as AWS, GCP or Azure and familiarity with lakehouse architectures such as Delta Lake or Apache IcebergExposure to real-time or streaming data processing in a production environmentA solid understanding of data modelling, schema design and the principles of well-structured, trustworthy dataComfortable working in agile, fast-moving environments where priorities evolve quicklyFintech, banking or financial services experience is advantageous

We have partnered with a global AI-led professional services firm specialising in advisory, technology and managed services across the government and commercial sectors to appoint an AI/ML Engineer. This is a senior hands-on role for an engineer who thrives in a client-facing delivery environment, building and deploying production-grade AI systems that solve real problems at scale. You will play a central role in shaping how the firm engineers and delivers AI solutions across a growing portfolio of government and public sector clients. This role suits someone who combines deep technical capability with the communication skills and commercial awareness to operate as a trusted partner to clients and internal stakeholders alike. If you have built agentic AI systems in production and want to do it at scale inside a firm with serious delivery ambition, this is worth your attention. About the role:Architect and deploy production-ready agentic AI systems, covering orchestration, retrieval, tool use, policy routing and end-to-end observabilityBuild portable, multi-provider AI pipelines spanning platforms including OpenAI, Anthropic and Google Vertex AIDevelop cloud-native systems leveraging Kubernetes, Docker, serverless architectures, event-driven design and CI/CD toolingTranslate client and business requirements into scalable agentic workflows that automate complex processes and deliver measurable outcomesLead proof of concepts, design workshops and joint engineering sessions to accelerate client adoptionOwn performance monitoring across accuracy, latency, cost and reliability, and define the standards the team works toEnsure solution compliance with applicable regulatory frameworks including HIPAA and SOC 2Mentor junior engineers and contribute to internal frameworks, reusable patterns and the firm's broader AI engineering strategy About you:5+ years of experience building and deploying cloud-native systems including microservices, APIs, containerisation and serverless architectures3+ years working with leading AI platforms and open-source LLM frameworks with hands-on experience across multi-provider pipeline development1+ year of production experience with agentic AI systems including RAG pipelines, orchestration frameworks and workflow automationStrong Python skills alongside experience with TensorFlow, PyTorch or Hugging FaceSolid grounding in MLOps including CI/CD, continuous training, observability and automated monitoringTrack record of delivering medium to large-scale AI/ML projects with demonstrable business impactStrong communicator with the ability to work effectively across engineering, client and business teamsUS citizenship or Green Card requiredFamiliarity with healthcare interoperability standards such as FHIR and HL7 is advantageousCertifications in AI, cloud platforms or agentic tooling are a plus

We have partnered with a high-availability B2B SaaS company delivering mission-critical software to enterprise clients.As customer adoption increases, they are expanding their SRE function to improve reliability, scalability, and performance across their cloud-native environment. This is a core growth function for the business.What you'll be doing:Defining SLIs, SLOs, and error budgetsImproving system reliability across AWS environmentsDriving observability improvementsAutomating infrastructure recovery and scalingLeading incident response and postmortem processesOptimising performance across distributed systems About you:5+ years in SRE, DevOps or cloud infrastructureStrong AWS or GCP experienceKubernetes and container orchestrationExperience in high-availability SaaS environments

We have partnered with a Series C B2B SaaS business investing heavily in its internal developer platform.They are building a dedicated Platform Engineering team responsible for creating self-service cloud infrastructure, improving developer experience, and enabling product teams to ship faster.This is not traditional DevOps. This is platform ownership.What you'll be doingDesigning internal developer platforms on AWSBuilding reusable Terraform modulesCreating scalable Kubernetes foundationsImplementing service mesh and container orchestration strategiesImproving cloud cost visibility and governancePartnering with engineering teams to enhance release velocity About you6+ years in cloud infrastructure or platform engineeringStrong AWS architecture experienceTerraform at scaleKubernetes in productionExperience building internal tooling or developer platformsFamiliarity with GitOps workflows This is a team-build hire. They plan to add multiple engineers into Platform this year.

We have partnered with a fast-growing B2B SaaS company building a high-scale, multi-tenant platform used by enterprise customers across North America.As part of continued growth, they are hiring multiple Senior DevOps Engineers to help evolve their cloud infrastructure and CI/CD ecosystem.You will work closely with platform and application engineering teams to build secure, scalable infrastructure and improve deployment velocity across the business.What you'll be doing:Designing and maintaining AWS-based infrastructureBuilding and scaling Kubernetes clustersDeveloping Infrastructure as Code using TerraformOwning CI/CD pipelines across multiple servicesImproving observability using Datadog, Prometheus or similarDriving automation across environmentsSupporting incident response and reliability improvements About you5+ years in DevOps or cloud infrastructure engineeringDeep AWS experienceStrong Terraform experienceProduction Kubernetes experienceExperience supporting microservices environmentsStrong scripting skills in Python or Bash This team is scaling quickly, and they expect to hire several engineers in this function over the next 12 months.

We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.About the role:Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements About you:Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs

We have partnered with a fast-growing, product-led technology company that is building a complex, high-traffic platform and is now looking to hire a Staff Software Engineer. This role sits at the highest individual contributor level and is designed for someone who wants deep technical impact without moving into people management.This is a key hire for the business. You will work on the hardest technical problems, influence architecture and engineering standards, and act as a technical reference point for the wider team as the company continues to scale.About the role:Own and solve complex, high-impact technical challenges across the core platformDrive architectural decisions across distributed, cloud-based systemsWork in a backend environment primarily built using Python and Go, with services designed around scalability, performance, and clear ownership boundariesDesign and evolve APIs, microservices, and event-driven services used across the platformContribute to system design around performance, reliability, security, and observabilityPartner closely with Engineering Managers and Product to shape pragmatic technical solutionsSet engineering standards around code quality, testing, and operational excellenceLead by example through hands-on contribution to critical parts of the codebaseMentor senior and mid-level engineers through design reviews and technical guidance About you:Strong experience as a Senior or Staff Engineer in a product-led or startup environmentDeep understanding of modern backend systems and distributed architecturesHands-on experience with Python and/or Go in production environmentsComfortable working with cloud platforms, containerisation, and CI/CD pipelinesExperience designing and operating systems used at scalePragmatic mindset with a strong focus on maintainability and real-world delivery